| 引用本文: | 尚洪彬,桂子钦,段晓宁,等.基于混合蛙跳算法的自压微灌管网系统优化设计[J].灌溉排水学报,2021,(1):131-137. |
| SHANG Hongbin,GUI Ziqin,DUAN Xiaoning,et al.基于混合蛙跳算法的自压微灌管网系统优化设计[J].灌溉排水学报,2021,(1):131-137. |
|
| 摘要: |
| 【目的】解决自压微灌管网系统布置与管径优化设计的问题，节省工程投资造价。【方法】以新疆某灌区一微灌工程为研究对象，以微灌系统中各级管道的管段长度、管径为决策变量，支毛管允许水头差、工作压力、管径、流速等为约束条件，以管网总投资最小为目标，分别建立了双向毛管布置和单向毛管布置的自压微灌管网数学模型，并采用混合蛙跳算法进行求解，优化管网的布置及各级管道的管径。【结果】该优化设计方法对自压微灌管网系统能够实现管网系统布置与管径的同步优化，优化设计后的方案干管段数减少，干管每一段的长度和每条支管长度增加，部分管段管径减小，所需总投资为469 129.3元，与依据相关规范和经验进行设计的原方案相比，管网投资降低了21.5%。【结论】该优化设计方法所得的优化结果节省投资明显，混合蛙跳算法收敛性能稳定，计算速度较快，具有较高的计算精度，对水源有保证、地面坡度不大且较为均匀的自压微灌管网系统的优化设计具有一定的应用价值。 |
| 关键词: 自压微灌管网；管网系统布置；管径优化；混合蛙跳算法 |
| DOI：10.13522/j.cnki.ggps.2019237 |
| 分类号: |
| 基金项目: |
|
| Optimizing Micro-irrigation Pipe Network Operated by Self-regulated Pressure Using the Shuffled Frog-leaping Algorithm |
|
SHANG Hongbin, GUI Ziqin, DUAN Xiaoning, HU Mingyu, HE Wuquan
|
|
1. College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China; 2. Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education, Yangling 712100, China
|
| Abstract: |
| 【Background】Micro-irrigation, including drip irrigation, micro-sprinkler irrigation and small-tube discharge irrigation, is a technology using pipe network to convey water to fields and then to root zones via orifice or emitter capillary tubes. Current design of the pipe network relies on empirical experiences and follows traditional references, and it is hence unlikely to be optimal. Developing optimal design method is required to improve efficiency of the micro-irrigation system and reduce its costs.【Objective】 This paper presents an optimization method to calculate the pipeline layout and pipe diameters for micro-irrigation network operated under self-regulated pressure.【Method】The length and diameters of the pipes were used as decision variables; the allowable water head difference between the branch pipes and the lateral pipes, the working pressure, the pipe diameter, water flow rates were used as constraints. With minimizing the total costs of the network as objective, an optimization model was derived to design the two-way capillary, self-pressure micro-irrigation pipe network, as well as the one-way capillary, self-pressure micro-irrigation pipe network, respectively. We applied the method to an irrigation project in Xinjiang with the optimization solved by the shuffled frog-leaping algorithm.【Result】The model was capable of optimizing the pipeline layout and pipe diameters simultaneously for the micro-irrigation pipe network operated under self-regulated pressure. Implementation of the optimal results could noticeably save costs by reducing the numbers of section-pipes and the diameter of part of the section-pipes while in the meantime increasing the length of each section-pipes and the branch-pipes. Overall, it reduced the total costs by 21.5% to 469 129.3 yuan, compared to the results calculated by traditional design method.【Conclusion】The shuffled frog-leaping algorithm was stable, efficient and accurate, and the optimization results calculated by it from our proposed model could reduce costs significantly. The method has implications for designing micro-irrigation pipe networks operated by self-regulated pressure in areas with relatively flatten surface and sufficient water source. |
| Key words: self-pressure; micro-irrigation pipe network; pipeline layout; pipe diameter; optimization; SFLA |
